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Open Source Computer Vision Library
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189 lines
6.6 KiB
189 lines
6.6 KiB
/*M/////////////////////////////////////////////////////////////////////////////////////// |
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// |
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. |
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// |
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// By downloading, copying, installing or using the software you agree to this license. |
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// If you do not agree to this license, do not download, install, |
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// copy or use the software. |
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// |
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// |
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// License Agreement |
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// For Open Source Computer Vision Library |
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// |
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved. |
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved. |
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// Third party copyrights are property of their respective owners. |
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// |
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// Redistribution and use in source and binary forms, with or without modification, |
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// are permitted provided that the following conditions are met: |
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// |
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// * Redistribution's of source code must retain the above copyright notice, |
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// this list of conditions and the following disclaimer. |
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// |
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// * Redistribution's in binary form must reproduce the above copyright notice, |
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// this list of conditions and the following disclaimer in the documentation |
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// and/or other materials provided with the distribution. |
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// |
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// * The name of the copyright holders may not be used to endorse or promote products |
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// derived from this software without specific prior written permission. |
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// |
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// This software is provided by the copyright holders and contributors "as is" and |
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// any express or implied warranties, including, but not limited to, the implied |
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// warranties of merchantability and fitness for a particular purpose are disclaimed. |
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// In no event shall the Intel Corporation or contributors be liable for any direct, |
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// indirect, incidental, special, exemplary, or consequential damages |
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// (including, but not limited to, procurement of substitute goods or services; |
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// loss of use, data, or profits; or business interruption) however caused |
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// and on any theory of liability, whether in contract, strict liability, |
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// or tort (including negligence or otherwise) arising in any way out of |
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// the use of this software, even if advised of the possibility of such damage. |
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// |
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//M*/ |
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#include "precomp.hpp" |
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using namespace cv; |
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using namespace cv::cuda; |
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#if !defined (HAVE_CUDA) || defined (CUDA_DISABLER) || !defined(HAVE_OPENCV_CUDAFILTERS) |
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Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int, int, int, double, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); } |
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Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int, int, int, int) { throw_no_cuda(); return Ptr<cuda::CornernessCriteria>(); } |
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#else /* !defined (HAVE_CUDA) */ |
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namespace cv { namespace cuda { namespace device |
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{ |
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namespace imgproc |
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{ |
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void cornerHarris_gpu(int block_size, float k, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream); |
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void cornerMinEigenVal_gpu(int block_size, PtrStepSzf Dx, PtrStepSzf Dy, PtrStepSzf dst, int border_type, cudaStream_t stream); |
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} |
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}}} |
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namespace |
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{ |
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class CornerBase : public CornernessCriteria |
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{ |
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protected: |
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CornerBase(int srcType, int blockSize, int ksize, int borderType); |
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void extractCovData(const GpuMat& src, Stream& stream); |
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int srcType_; |
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int blockSize_; |
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int ksize_; |
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int borderType_; |
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GpuMat Dx_, Dy_; |
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private: |
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Ptr<cuda::Filter> filterDx_, filterDy_; |
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}; |
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CornerBase::CornerBase(int srcType, int blockSize, int ksize, int borderType) : |
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srcType_(srcType), blockSize_(blockSize), ksize_(ksize), borderType_(borderType) |
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{ |
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CV_Assert( borderType_ == BORDER_REFLECT101 || borderType_ == BORDER_REPLICATE || borderType_ == BORDER_REFLECT ); |
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const int sdepth = CV_MAT_DEPTH(srcType_); |
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const int cn = CV_MAT_CN(srcType_); |
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CV_Assert( cn == 1 ); |
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double scale = static_cast<double>(1 << ((ksize_ > 0 ? ksize_ : 3) - 1)) * blockSize_; |
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if (ksize_ < 0) |
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scale *= 2.; |
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if (sdepth == CV_8U) |
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scale *= 255.; |
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scale = 1./scale; |
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if (ksize_ > 0) |
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{ |
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filterDx_ = cuda::createSobelFilter(srcType, CV_32F, 1, 0, ksize_, scale, borderType_); |
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filterDy_ = cuda::createSobelFilter(srcType, CV_32F, 0, 1, ksize_, scale, borderType_); |
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} |
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else |
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{ |
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filterDx_ = cuda::createScharrFilter(srcType, CV_32F, 1, 0, scale, borderType_); |
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filterDy_ = cuda::createScharrFilter(srcType, CV_32F, 0, 1, scale, borderType_); |
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} |
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} |
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void CornerBase::extractCovData(const GpuMat& src, Stream& stream) |
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{ |
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CV_Assert( src.type() == srcType_ ); |
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filterDx_->apply(src, Dx_, stream); |
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filterDy_->apply(src, Dy_, stream); |
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} |
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class Harris : public CornerBase |
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{ |
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public: |
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Harris(int srcType, int blockSize, int ksize, double k, int borderType) : |
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CornerBase(srcType, blockSize, ksize, borderType), k_(static_cast<float>(k)) |
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{ |
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} |
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void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null()); |
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private: |
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float k_; |
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}; |
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void Harris::compute(InputArray _src, OutputArray _dst, Stream& stream) |
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{ |
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using namespace cv::cuda::device::imgproc; |
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GpuMat src = _src.getGpuMat(); |
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extractCovData(src, stream); |
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_dst.create(src.size(), CV_32FC1); |
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GpuMat dst = _dst.getGpuMat(); |
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cornerHarris_gpu(blockSize_, k_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream)); |
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} |
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class MinEigenVal : public CornerBase |
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{ |
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public: |
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MinEigenVal(int srcType, int blockSize, int ksize, int borderType) : |
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CornerBase(srcType, blockSize, ksize, borderType) |
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{ |
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} |
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void compute(InputArray src, OutputArray dst, Stream& stream = Stream::Null()); |
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private: |
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float k_; |
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}; |
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void MinEigenVal::compute(InputArray _src, OutputArray _dst, Stream& stream) |
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{ |
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using namespace cv::cuda::device::imgproc; |
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GpuMat src = _src.getGpuMat(); |
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extractCovData(src, stream); |
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_dst.create(src.size(), CV_32FC1); |
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GpuMat dst = _dst.getGpuMat(); |
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cornerMinEigenVal_gpu(blockSize_, Dx_, Dy_, dst, borderType_, StreamAccessor::getStream(stream)); |
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} |
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} |
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Ptr<cuda::CornernessCriteria> cv::cuda::createHarrisCorner(int srcType, int blockSize, int ksize, double k, int borderType) |
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{ |
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return makePtr<Harris>(srcType, blockSize, ksize, k, borderType); |
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} |
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Ptr<cuda::CornernessCriteria> cv::cuda::createMinEigenValCorner(int srcType, int blockSize, int ksize, int borderType) |
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{ |
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return makePtr<MinEigenVal>(srcType, blockSize, ksize, borderType); |
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} |
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#endif /* !defined (HAVE_CUDA) */
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